#!/usr/bin/env python
#  Copyright (c) 2010
#  The Regents of the University of Michigan
#  All Rights Reserved

#  Permission is granted to use, copy, create derivative works, and
#  redistribute this software and such derivative works for any purpose,
#  so long as the name of the University of Michigan is not used in
#  any advertising or publicity pertaining to the use or distribution
#  of this software without specific, written prior authorization. If
#  the above copyright notice or any other identification of the
#  University of Michigan is included in any copy of any portion of
#  this software, then the disclaimer below must also be included.

#  This software is provided as is, without representation or warranty
#  of any kind either express or implied, including without limitation
#  the implied warranties of merchantability, fitness for a particular
#  purpose, or noninfringement.  The Regents of the University of
#  Michigan shall not be liable for any damages, including special,
#  indirect, incidental, or consequential damages, with respect to any
#  claim arising out of or in connection with the use of the software,
#  even if it has been or is hereafter advised of the possibility of
#  such damages.

import cPickle

import sys

if __name__ == '__main__':
  sybil_finds = cPickle.load(open(sys.argv[1]))['sybil_finds']
  num_fragments = int(sys.argv[2])

  print '%d Sybils, %d fragments' % (len(sybil_finds), num_fragments)

  total_finds = sum(len(set(x)) for x in sybil_finds)
  finds_per_sybil = float(total_finds) / len(sybil_finds)
  fraction = finds_per_sybil / num_fragments
  print '%d find events, %f finds per Sybil, so each Sybil sees %f of the network' % (total_finds, finds_per_sybil, fraction)
